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Record W4220793267 · doi:10.54691/bcpssh.v16i.518

Reflection of Modern Society through Cyberpunk

2022· article· en· W4220793267 on OpenAlexaff
Han Li

Bibliographic record

VenueBCP Social Sciences & Humanities · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsDystopiaReputationTheme (computing)Language changePower (physics)ArtSociologyAestheticsEngineeringMedia studiesLiteratureComputer scienceSocial scienceWorld Wide Web

Abstract

fetched live from OpenAlex

“We live in a dystopian world. Filled with crime, corruption. And, poverty by mighty, power-hungry corporations and heartless, brutal governments.” The art book of the recent game Cyberpunk 2077 stated this as its basic world setting. Although the game gets a bad reputation due to its unpolished quality, it is fair to say Cyberpunk 2077 adds a few crucial pieces to the overall puzzle that is the cyberpunk world. In this paper I’ll analyze the aesthetic qualities and story settings of cyberpunk across media, contributing to the dialogue around the genre’s common theme of serving as a warning to the present society.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.817
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.127
GPT teacher head0.362
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2022
Admission routes1
Has abstractyes

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